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  1. Home
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  5. Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)
Capital One logo

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About Capital One and AI

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, we have been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent, along with our deep experience in machine learning, position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking.

We are committed to continuing to build world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. In this role, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

About the Team

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with partners across the company to advance the state of the art in science and AI engineering. We build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI in responsible and scalable ways for the highest leverage impact.

The Role and Culture

This position is for a Lead AI Engineer focused on AI Foundations, LLM Customization, and Finetuning. You will partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

You will be expected to design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. A key part of your mission is to invent and introduce state-of-the-art LLM optimization techniques to improve the performance, scalability, cost, latency, and throughput of large-scale production AI systems.

We are looking for individuals who love to build systems, take pride in the quality of their work, and share our passion to do the right thing. You should have a passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You will adapt quickly and thrive on bringing clarity to big, undefined problems, loving to ask questions and dig deep to uncover the root of problems. You must possess the courage to share new ideas even when they are unproven and be a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.

Hiring Process and Application

Capital One is committed to a fair and inclusive hiring process. We consider qualified applicants regardless of background. If you have visited our website in search of information on employment opportunities or to apply for a position and require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

This role is expected to accept applications for a minimum of 5 business days. No agencies please.

Equal Opportunity and Legal

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Work location

Work model: On-site

location_on

NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

Key Responsibilities

  • check_circlePartner with cross-functional teams to deliver AI-powered products
  • check_circleDesign, develop, test, deploy, and support AI software components
  • check_circleManage foundation model training and large language model inference
  • check_circleInvent state-of-the-art LLM optimization techniques for scalability and cost
  • check_circleImplement similarity search, guardrails, and model evaluation systems
  • check_circleContribute to the technical vision and long-term roadmap of foundational AI systems

Requirements

  • verifiedBachelor's degree in CS, AI, EE, or CE plus 4 years AI/ML experience
  • verifiedMaster's degree in CS, AI, EE, or CE plus 2 years AI/ML experience
  • verified4+ years experience with Python, Go, Scala, or Java
  • verified6 years experience deploying scalable AI on cloud platforms (preferred)
  • verifiedExperience with LLM Inference, VectorDBs, Guardrails (preferred)
  • verifiedExperience optimizing training/inference for hardware utilization (preferred)

Nice to Have

6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud). Experience designing, developing, delivering, and supporting AI services. Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang. Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production.

Benefits & Perks

check_circleComprehensive health, financial, and other benefits for total well-beingcheck_circleEligibility for performance-based incentive compensation including cash bonuses and long-term incentives
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

4+ yrs (Lead)

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Job Type

Full-Time

Skills Required

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Skills, education and keywords

Skills: Machine Learning, Python, Go, Scala, Java, C++, Golang, Aws, Google Cloud.

Education: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields; Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields.

Frequently asked questions about Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) at Capital One

What does a Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) at Capital One do?expand_more
In this Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) at Capital One role, you will partner with cross-functional teams to deliver ai-powered products; design, develop, test, deploy, and support ai software components; manage foundation model training and large language model inference; and invent state-of-the-art llm optimization techniques for scalability and cost.
What are the requirements for this Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's degree in CS, AI, EE, or CE plus 4 years AI/ML experience; Master's degree in CS, AI, EE, or CE plus 2 years AI/ML experience; 4+ years experience with Python, Go, Scala, or Java; 6 years experience deploying scalable AI on cloud platforms (preferred); Experience with LLM Inference, VectorDBs, Guardrails (preferred); and Experience optimizing training/inference for hardware utilization (preferred).
Where is the Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) role at Capital One located?expand_more
Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) job remote, hybrid, or on-site?expand_more
Capital One has listed this Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) role as on-site.
How much experience is required for this Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) role?expand_more
Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) at Capital One typically requires 4+ years of relevant experience at the lead level.
What skills do you need for the Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) role at Capital One?expand_more
Key skills for Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) at Capital One include Machine Learning; Python; Go; Scala; Java; C++; Golang; and Aws.
What education is required for Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) at Capital One?expand_more
Educational requirements for this role: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields; and Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields.
What category does the Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) role belong to?expand_more
Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) at Capital One is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

publiclanguageshare
Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
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Contractor jobsFull-Time jobsIntern jobsOther jobsPart-Time jobsPer-Diem jobsTemporary jobsVolunteer jobs
Top states
Jobs in TexasJobs in CaliforniaJobs in New YorkJobs in FloridaJobs in North CarolinaJobs in OhioAll states →
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Healthcare & Nursing jobsLogistics & Warehouse jobsEngineering jobsIT jobsSales jobsHospitality & Catering jobsAccounting & Finance jobs
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CDL-A jobsExcel jobsEnglish jobsMicrosoft Office jobs
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Company
About usFAQContactPrivacy policy

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
Machine LearningPythonGoScalaJavaC++GolangAwsGoogle Cloud
US privacy notice
Accessibility